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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the sports team "Eagles"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Eagles football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icity
    -0.78
     redistributed
    -0.73
    nant
    -0.68
    ebin
    -0.65
    elled
    -0.64
    lled
    -0.64
    lly
    -0.64
     VIDE
    -0.63
    travel
    -0.62
     exha
    -0.60
    POSITIVE LOGITS
     Eagles
    1.19
    agles
    1.03
    onian
    0.86
    sburg
    0.74
     Cowboys
    0.73
    boys
    0.70
     Raiders
    0.68
     Eagle
    0.68
     Arena
    0.66
     Dogs
    0.66
    Activations Density 0.005%

    No Known Activations